Build a Wide Feature Table from Weather Windows

Applies scan_windows to many site-specific reference dates and returns a wide table with one row per reference event and one column per metric-window combination. The reference date can be an assessment date, planting date, or any other timestamp stored in the input table.

Usage

window_pane(
  weather,
  assessments,
  windows,
  reference_col = NULL,
  id_col = NULL,
  response_col = NULL,
  weather_cols = NULL,
  time_col = "time",
  temp_col = "temp",
  rh_col = "rh",
  rain_col = "rain",
  leaf_wetness_col = "leaf_wetness",
  unit = c("days", "hours"),
  statistics = list(
    temp = c("mean", "min", "max"),
    rh = "mean",
    rain = "sum",
    leaf_wetness = "sum"
  )
)

Arguments

weather: A weather data frame.
assessments: A data frame containing reference times and optional IDs or responses.
windows: A data frame created by make_windows.
reference_col: Name of the reference timestamp column. If NULL, the function uses metadata stored by make_windows or falls back to "assessment_time".
id_col: Optional site, location, or assessment identifier column. When this column is present in both weather and assessments, each row is matched to the weather series from the same ID.
response_col: Optional response column, such as disease intensity.
weather_cols: Character vector of weather columns to summarize. If named, the names are used in the output feature names.
time_col: Name of the weather timestamp column.
temp_col: Name of the temperature column.
rh_col: Name of the relative humidity column.
rain_col: Name of the rainfall column.
leaf_wetness_col: Name of the leaf wetness column.
unit: Time unit for relative-time windows. One of "days" or "hours".
statistics: Summary statistics passed to summarise_weather_window().

Value

A wide data frame with one row per reference event.